Update app.py

app.py

@@ -53,7 +53,17 @@ FEATURES = [
 NUMERIC_INPUTS = {"age", "BMI", "Previos_Obsteric_History_AB"}
 BOOL_FEATURES  = [f for f in FEATURES if f not in NUMERIC_INPUTS]  # flags
 
-# ---------- Utilities ----------
+FLAG_SPECS = [
+    ("history_of_htn", "History of hypertension — Yes / No"),
+    ("family_history_dm", "Family history of diabetes mellitus — Yes / No"),
+    ("family_history_htn", "Family history of hypertension — Yes / No"),
+    ("history_infectious_cardiovascular_diseae", "History of cardiovascular diseases — Yes / No"),
+    ("history_infectious_endocrine_metabolic_disease", "History of endocrine metabolic disease — Yes / No"),
+    ("history_infectious_digestive_disease", "History of digestive disease — Yes / No"),
+    ("Current_history_obsteric", "Current obstetric normal — Yes / No"),
+    ("infertility", "History of infertility — Yes / No"),
+]
+-------- Utilities ----------
 def normalize(s: str) -> str:
     return re.sub(r"[^a-z0-9]+", "", str(s).lower())
 
@@ -276,15 +286,18 @@ hr.sep { border: none; border-top: 1px solid #e5e7eb; margin: 8px 0 14px; }
         # -------- Left: Manual inputs + Sample picker --------
         with gr.Column(scale=1):
             gr.Markdown("### 1) Manual input")
-            age_in  = gr.Number(label="age (years)", value=None, precision=2)
-            bmi_in  = gr.Number(label="BMI", value=None, precision=3)
-            prev_ab = gr.Number(label="Previos_Obsteric_History_AB (count)", value=None, precision=0)
+            age_in  = gr.Number(label="Age — 19–48 years", value=None, precision=2)
+            bmi_in  = gr.Number(label="BMI — 16–169 kg/m²", value=None, precision=3)
+            prev_ab = gr.Number(label="History of abortion in previous pregnancies — count (0–6)", value=None, precision=0)
+
 
             gr.Markdown("<hr class='sep'/>")
             gr.Markdown("#### Clinical flags")
             checkbox_map: Dict[str, gr.Checkbox] = {}
-            for feat in BOOL_FEATURES:
-                checkbox_map[feat] = gr.Checkbox(label=feat, value=False)
+            for feat, nice_label in FLAG_SPECS:
+                checkbox_map[feat] = gr.Checkbox(label=nice_label, value=False)
+
+
 
             gr.Markdown("<hr class='sep'/>")
             thr = gr.Slider(0.05, 0.95, value=0.50, step=0.01, label=f"Decision threshold for class '{POS_CLASS}'")